Evaluating the effect of viral news on social media engagement
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909261676675072 |
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| author | Sangiorgio, Emanuele Di Marco, Niccolò Etta, Gabriele Cinelli, Matteo Cerqueti, Roy Quattrociocchi, Walter |
| author_facet | Sangiorgio, Emanuele Di Marco, Niccolò Etta, Gabriele Cinelli, Matteo Cerqueti, Roy Quattrociocchi, Walter |
| contents | This study examines Facebook and YouTube content from over a thousand news outlets in four European languages from 2018 to 2023, using a Bayesian structural time-series model to evaluate the impact of viral posts. Our results show that most viral events do not significantly increase engagement and rarely lead to sustained growth. The virality effect usually depends on the engagement trend preceding the viral post, typically reversing it. When news emerges unexpectedly, viral events enhances users' engagement, reactivating the collective response process. In contrast, when virality manifests after a sustained growth phase, it represents the final burst of that growth process, followed by a decline in attention. Moreover, quick viral effects fade faster, while slower processes lead to more persistent growth. These findings highlight the transient effect of viral events and underscore the importance of consistent, steady attention-building strategies to establish a solid connection with the user base rather than relying on sudden visibility spikes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_13549 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Evaluating the effect of viral news on social media engagement Sangiorgio, Emanuele Di Marco, Niccolò Etta, Gabriele Cinelli, Matteo Cerqueti, Roy Quattrociocchi, Walter Social and Information Networks This study examines Facebook and YouTube content from over a thousand news outlets in four European languages from 2018 to 2023, using a Bayesian structural time-series model to evaluate the impact of viral posts. Our results show that most viral events do not significantly increase engagement and rarely lead to sustained growth. The virality effect usually depends on the engagement trend preceding the viral post, typically reversing it. When news emerges unexpectedly, viral events enhances users' engagement, reactivating the collective response process. In contrast, when virality manifests after a sustained growth phase, it represents the final burst of that growth process, followed by a decline in attention. Moreover, quick viral effects fade faster, while slower processes lead to more persistent growth. These findings highlight the transient effect of viral events and underscore the importance of consistent, steady attention-building strategies to establish a solid connection with the user base rather than relying on sudden visibility spikes. |
| title | Evaluating the effect of viral news on social media engagement |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2407.13549 |